A Tabu Clustering algorithm for Intrusion Detection. - Yongguo Liu; Xiaofeng Liao 001; Xueming Li; Zhongfu Wu (Intell. Data Anal., 2004)

A genetic clustering method for intrusion detection. - Yongguo Liu; Kefei Chen; Xiaofeng Liao 001; Wei Zhang (Pattern Recognit., 2004)

Clustering with Noising Method. - Yongguo Liu; Yan Liu; Kefei Chen (ADMA, 2005)

A Novel Clustering Technique Based on Improved Noising Method. - Yongguo Liu; Wei Zhang; Dong Zheng 001; Kefei Chen (CIARP, 2005)

A Tabu Clustering Method with DHB Operation and Mergence and Partition Operation. - Yongguo Liu; Dong Zheng 001; Shiqun Li; Libin Wang 002; Kefei Chen (Discovery Science, 2005)

A Tabu Search Based Method for Minimum Sum of Squares Clustering. - Yongguo Liu; Libin Wang 002; Kefei Chen (ICAPR (1), 2005)

A Hybrid Tabu Search Based Clustering Algorithm. - Yongguo Liu; Yan Liu; Libin Wang 002; Kefei Chen (KES (2), 2005)

An Improved Hybrid Genetic Clustering Algorithm. - Yongguo Liu; Jun Peng; Kefei Chen; Zhang Yi 001 (SETN, 2006)

Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints. - Xiaorong Pu; Zhongjie Fang; Yongguo Liu (ISNN (3), 2007)

Clustering Using an Improved Hybrid Genetic Algorithm. - Yongguo Liu; Xiaorong Pu; Yi-Dong Shen; Zhang Yi 001; Xiaofeng Liao 001 (Int. J. Artif. Intell. Tools, 2007)

A Double-Piped iterated hash function based on a hybrid of chaotic maps. - Jun Peng; Du Zhang; Yongguo Liu; Xiaofeng Liao 001 (IEEE ICCI, 2008)

A few online algorithms for extracting minor generalized eigenvectors. - Mao Ye 001; Yongguo Liu; Hong Wu; Qihe Liu (IJCNN, 2008)

A tabu search approach for the minimum sum-of-squares clustering problem. - Yongguo Liu; Zhang Yi 001; Hong Wu; Mao Ye 001; Kefei Chen (Inf. Sci., 2008)

Applying pLSA to region-based image categorization with soft vector quantization. - Hong Wu; Yongguo Liu; Mao Ye 001 (ICIMCS, 2009)

A Block Cipher Based on a Hybrid of Chaotic System and Feistel Network. - Jun Peng; Shangzhu Jin; Hailing Liu; Yongguo Liu (ICNC (5), 2009)

Blind Image Extraction by Using Local Smooth Information. - Mao Ye 001; Yongguo Liu; Ming Liu; Fan Li; Qihe Liu (ICNC (3), 2009)

Predicting RNA secondary structure with Tabu Search. - Yongguo Liu; Jianrui Hao; Jun Peng (IEEE ICCI, 2010)

Data Clustering with Cat Swarm Optimization. - Yongguo Liu; Yi-Dong Shen (J. Convergence Inf. Technol., 2010)

On Using Tabu Search for RNA Secondary Structure Prediction. - Yongguo Liu; Jianrui Hao (J. Digit. Content Technol. its Appl., 2010)

A Genetic Algorithm Based Clustering Approach with Tabu Operation and K-Means Operation. - Yongguo Liu; Hua Yan; Kefei Chen (J. Intell. Syst., 2010)

Automatic clustering using genetic algorithms. - Yongguo Liu; Xindong Wu 001; Yi-Dong Shen (Appl. Math. Comput., 2011)

Ensemble cuckoo search biclustering of the gene expression data. - Lu Yin; Yongguo Liu (ICCI*CC, 2016)

Gravitation Theory Based Model for Multi-Label Classification. - Liwen Peng; Yongguo Liu (Int. J. Comput. Commun. Control, 2017)

A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine. - Jiajing Zhu; Yongguo Liu; Shangming Yang; Shuangqing Zhai; Zhang Yi 001; Chuanbiao Wen (CIKM, 2018)

A Bidirectional Deep Manifold Model for Image Representation. - Shangming Yang; Yongguo Liu; Qiaoqing Li (FSDM, 2018)

Mining Effective Patterns of Chinese Medicinal Formulae Using Top-k Weighted Association Rules for the Internet of Medical Things. - Xiaolin Zhu 003; Yongguo Liu; Qiaoqin Li; Yi Zhang; Chuanbiao Wen (IEEE Access, 2018)

Ensemble biclustering gene expression data based on the spectral clustering. - Lu Yin; Yongguo Liu (Neural Comput. Appl., 2018)

Learning Chinese Word Embeddings from Stroke, Structure and Pinyin of Characters. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Ziqiang Zheng; Xiaofeng Liu; Weiguang Wang; Zijie Chen; Shuangqing Zhai (CIKM, 2019)

ANDERATION: A New Anti-Community Detection Algorithm and its Application to Explore Incompatibility of Traditional Chinese Medicine. - Qiaoqin Li; Yongguo Liu; Jiajing Zhu; Yonghua Xiao; Hao Wu; Xiaofeng Liu; Zijie Chen; Shuangqing Zhai (IEEE Access, 2019)

Attribute weights-based clustering centres algorithm for initialising K-modes clustering. - Liwen Peng; Yongguo Liu (Clust. Comput., 2019)

An efficient frequent pattern mining algorithm using a highly compressed prefix tree. - Xiaolin Zhu 003; Yongguo Liu (Intell. Data Anal., 2019)

IHPreten: A novel supervised learning framework with attribute regularization for prediction of incompatible herb pair in traditional Chinese medicine. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Qiaoqin Li; Shangming Yang; Xiaofeng Liu; Shuangqing Zhai; Yi Zhang; Chuanbiao Wen (Neurocomputing, 2019)

TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform. - Ziqiang Zheng; Yongguo Liu; Yun Zhang 019; Chuanbiao Wen (ICKG, 2020)

Exploiting Linear Manifold Features With Parts-Based Representation in Various Scenes. - Qiaoqin Li; Yongguo Liu; Shangming Yang (IEEE Access, 2020)

NALPA: A Node Ability Based Label Propagation Algorithm for Community Detection. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Changhong Yang; Wen Yang; Shuangqing Zhai (IEEE Access, 2020)

A Semantic Analysis and Community Detection-Based Artificial Intelligence Model for Core Herb Discovery from the Literature: Taking Chronic Glomerulonephritis Treatment as a Case Study. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Shuangqing Zhai; Rongjiang Jin; Chuanbiao Wen (Comput. Math. Methods Medicine, 2020)

LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery. - Yun Zhang 019; Yongguo Liu; Qiaoqin Li; Rongjiang Jin; Chuanbiao Wen (Neurocomputing, 2020)

A no self-edge stochastic block model and a heuristic algorithm for balanced anti-community detection in networks. - Jiajing Zhu; Yongguo Liu; Hao Wu; Zhi Chen 014; Yun Zhang 019; Shangming Yang; Changhong Yang; Wen Yang; Xindong Wu 001 (Inf. Sci., 2020)

GLLPA: A Graph Layout based Label Propagation Algorithm for community detection. - Yun Zhang 019; Yongguo Liu; Rongjiang Jin; Jing Tao; Lidian Chen; Xindong Wu 001 (Knowl. Based Syst., 2020)

MTMA: Multi-task multi-attribute learning for the prediction of adverse drug-drug interaction. - Jiajing Zhu; Yongguo Liu; Chuanbiao Wen (Knowl. Based Syst., 2020)

Mining patterns of Chinese medicinal prescription for diabetes mellitus based on therapeutic effect. - Xiaolin Zhu 003; Yongguo Liu; Qiaoqin Li; Yi Zhang; Chuanbiao Wen (Multim. Tools Appl., 2020)

Non-negative Matrix Factorization with Symmetric Manifold Regularization. - Shangming Yang; Yongguo Liu; Qiaoqin Li; Wen Yang; Yi Zhang; Chuanbiao Wen (Neural Process. Lett., 2020)

A Character-Word Graph Attention Networks for Chinese Text Classification. - Shigang Yang; Yongguo Liu (ICBK, 2021)

Deep Multiple Metric Learning for Time Series Classification. - Zhi Chen 014; Yongguo Liu; Jiajing Zhu; Yun Zhang 019; Qiaoqin Li; Rongjiang Jin; Xia He (IEEE Access, 2021)

Time-frequency deep metric learning for multivariate time series classification. - Zhi Chen 014; Yongguo Liu; Jiajing Zhu; Yun Zhang 019; Rongjiang Jin; Xia He; Jing Tao; Lidian Chen (Neurocomputing, 2021)

FSPRM: A Feature Subsequence Based Probability Representation Model for Chinese Word Embedding. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Xindong Wu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Attribute Supervised Probabilistic Dependent Matrix Tri-Factorization Model for the Prediction of Adverse Drug-Drug Interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Dongxiao Li (IEEE J. Biomed. Health Informatics, 2021)

Low-rank sparse feature selection with incomplete labels for Alzheimer's disease progression prediction. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Rongjiang Jin; Jing Tao; Lidian Chen (Comput. Biol. Medicine, 2022)

Exploring Chinese word embedding with similar context and reinforcement learning. - Yun Zhang 019; Yongguo Liu; Dongxiao Li; Shuangqing Zhai (Neural Comput. Appl., 2022)

Multi-Attribute Discriminative Representation Learning for Prediction of Adverse Drug-Drug Interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Xindong Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Adaptive Regularized Multiattribute Fuzzy Distance Learning for Predicting Adverse Drug-Drug Interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Xindong Wu 001 (IEEE Trans. Fuzzy Syst., 2022)

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction. - Jiajing Zhu; Yongguo Liu; Chuanbiao Wen; Xindong Wu 001 (IEEE Trans. Knowl. Data Eng., 2022)

DGDFS: Dependence Guided Discriminative Feature Selection for Predicting Adverse Drug-Drug Interaction : Extended Abstract. - Jiajing Zhu; Yongguo Liu; Chuanbiao Wen; Xindong Wu 001 (ICDE, 2023)

A Weakly Supervised Deep Learning Model for Alzheimer's Disease Prognosis Using MRI and Incomplete Labels. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Jiajing Zhu; Qiaoqin Li (ICONIP (3), 2023)

Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Qiaoqin Li; Alzheimer's Disease Neuroimaging Initiative (Medical Image Anal., 2023)

A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification. - Shigang Yang; Yongguo Liu; Yun Zhang 019; Jiajing Zhu (Neural Process. Lett., 2023)

DAEM: Deep attributed embedding based multi-task learning for predicting adverse drug-drug interaction. - Jiajing Zhu; Yongguo Liu; Yun Zhang 019; Zhi Chen 014; Kun She 001; Rongsheng Tong (Expert Syst. Appl., 2023)

A motion recognition model for upper-limb rehabilitation exercises. - Qiaoqin Li; Yongguo Liu; Jiajing Zhu; Zhi Chen 014; Lang Liu; Shangming Yang; Juan Li; Rongjiang Jin; Jing Tao; Lidian Chen (J. Ambient Intell. Humaniz. Comput., 2023)

Shared Manifold Regularized Joint Feature Selection for Joint Classification and Regression in Alzheimer's Disease Diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Jiajing Zhu; Qiaoqin Li; Xindong Wu 001 (IEEE Trans. Image Process., 2024)

HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation. - Hengjie Zheng; Yongguo Liu; Shangming Yang; Yun Zhang 019; Jiajing Zhu; Zhi Chen 014 (Neural Process. Lett., 2024)

TPBFS: two populations based feature selection method for medical data. - Haodi Quan; Yun Zhang 019; Qiaoqin Li; Yongguo Liu (Clust. Comput., 2024)

FRGEM: Feature integration pre-training based Gaussian embedding model for Chinese word representation. - Yun Zhang 019; Yongguo Liu; Jiajing Zhu; Zhi Chen 014; Fengli Zhang (Expert Syst. Appl., 2025)

Enhanced Multimodal Low-Rank Embedding-Based Feature Selection Model for Multimodal Alzheimer's Disease Diagnosis. - Zhi Chen 014; Yongguo Liu; Yun Zhang 019; Jiajing Zhu; Qiaoqin Li; Xindong Wu 001 (IEEE Trans. Medical Imaging, 2025)